The 40 Percent Problem

Gartner is projecting that 40% of agentic AI projects will be canceled by end of 2027. Not paused. Canceled. Ouch!

I've watched this happen. A client comes in with real urgency, real budget, real executive air cover. The team ships something. Six months later, someone in finance asks what it's worth. Nobody has a clean answer. The project doesn't fail because the AI didn't work. It fails because nobody defined what working meant before they started. Defining it afterward is just a rationalization with extra steps.

The part that gets me: Gartner's three causes (escalating costs, unclear business value, governance gaps) are all pre-launch questions. Every one of them is answerable before a single sprint starts. A project viability review, which includes scope, success metrics, a governance model, and a cost ceiling, is not glamorous work. It is, however, the work that determines whether the glamorous work survives. Clients don't love doing it. They love having done it.

There's a second thing worth naming: the 40% cancellation rate is the opportunity, not just the cautionary tale. Every one of those canceled projects represents an organization that lacked a disciplined process for making the go/no-go decision before committing spend. That's a solvable problem. Improving does this kind of structured decision work. That positioning isn't accidental.

Before you approve the next agent initiative: who owns the kill criteria? If nobody can answer that in a sentence, you don't have a governance problem. You have a project design problem.